Telegram Group Sending Guide: How to use user groups to achieve precise marketing and efficient message reach

Has your Telegram Bot ever encountered such a situation: a group message was sent out, but the open rate was so low that it even attracted users to report it or the Bot was restricted? The problem is often not with the message itself, but with your failure to “group” it. Indiscriminate mass distribution is like stuffing the same flyer into all mailboxes - it is noise to most users and an efficiency black hole to the operation team.

The core idea of ​​Telegram group messaging is very simple: divide users into several groups according to different tags, and then push the most relevant content to each group. This can not only improve the conversion rate of message reach, but also reduce the risk of harassment and account ban. This article will break down a set of implementable precision marketing plans for you from group dimension, rule design, content personalization to frequency control.

Why does Telegram mass sending need to be “grouped” instead of “full volume”?

Let’s take a look at some typical consequences of indiscriminate mass messaging:

• User Churn: Users receive promotional messages that have nothing to do with your Bot every day, and their first reaction is to block or report the Bot.
• Extremely low conversion rate: Push the same offer to all users, new users cannot understand it, and old users feel it is not sincere.
• Trigger Flood Control: Telegram Bot API has a rate limit for batch messages (usually 30 messages/second), and full batch messages can easily trigger restrictions or temporary bans.

The value of group messaging is exactly the opposite: it gives each message a “reason” to appear in front of users. Through user grouping, you can:

• Improve relevance from “casting a wide net” to “point-to-point”
• Reduce interruption to non-target users and reduce unsubscription rate
• Design differentiated strategies for users at different life cycle stages to improve operational efficiency

From the perspective of operating costs, group sending does not increase the workload, but uses the limited mass sending quota (especially the standard or free version packages with daily caps) on the users who are most likely to generate returns.

Three major dimensions of user grouping: from behavior, attributes to source

In the Telegram Bot scenario, you can construct grouping rules from the following three dimensions. In practice, it is recommended to combine at least two dimensions to define groups.

Behavioral grouping: based on interaction frequency and key events

Behavioral data is the most direct signal to determine user intentions. Common examples of behavioral clustering:

Group name	Rule definition	Typical uses
Active users	Opened the Bot and clicked at least 1 menu in the past 7 days	Pushing new features and advanced tutorials
Silent user	Not interacted with Bot for more than 30 days	Send wake-up offer or reactivation bootstrapping
High-intent users	Clicked on the “price page” or “Consult Customer Service” button but did not complete the purchase	Push limited-time discounts or exclusive consultant docking
Churn warning users	Last interaction was 15–30 days ago and was active before	Send a caring “are you okay” message

Attribute grouping: language, time zone and user portrait tags

If your bot serves multilingual users, grouping by language is a basic operation. TG-Staff supports recording language preferences in user portraits, and works with the automatic translation function to automatically adapt group messages to the target language.

In addition, you can also use custom tags for more detailed grouping:

• By Time Zone: Avoid sending messages between 22:00–08:00 the user’s local time.
• By user source: Use the Bot’s /start parameter (such as t.me/your_bot?start=ad_campaign1) to mark which advertising link the user entered from, and then push the corresponding activity to users from the same source.
• By paid status: Distinguish between free version users and paid subscription users, and push different levels of content.

Rule design for group distribution: avoid the “one size fits all” operational trap

With the grouping dimension, the next step is to set reasonable group sending rules. Here are a few points that are easy to get into but must be paid attention to:

1. Exclude converted users: Repeatedly pushing “newbie first order discount” to users who have already purchased will only cause resentment. Explicitly exclude users who have “completed critical events” in your broadcast rules.
2. Set time window: Use the time zone information in the user’s portrait to send it between 10:00–18:00 on the user’s local working day. If you don’t have time zone data, you can send it in batches (for example, 3 batches based on the last number of the user ID, each batch separated by 2 hours).
3. Protect user privacy: Do not directly expose sensitive information such as user mobile phone numbers and email addresses in group messages. Telegram Bot itself does not provide user mobile phone numbers, but if you have collected data through other channels, do not display it explicitly in Bot messages.

Content Personalization: Make every message feel like “just for you”

The ultimate goal of group messaging is to increase the open rate and click-through rate of messages, and content personalization is a key means to achieve this goal.

Template variable and placeholder usage

In TG-Staff’s mass messaging editor, you can insert dynamic variables to automatically fill in each message with the user’s personalized information. For example:

你好 `{`{first_name}`}`，你上次使用我们的服务是在 `{`{last_interaction_date}`}`。
这里有一个专属优惠，点击领取：`{`{coupon_link}`}`

Commonly used template variables include:

• {{first_name}}: User Telegram display name (excluding surname)
• {{last_interaction_date}}: The date the user last interacted with the bot
• {{language_code}}: Preferred language code set by the user
• {{custom_field_1}}: Any tag you customize in the user portrait

Design differentiated copywriting according to groups

The same activity should use different wording and hooks for different groups of users:

• New user group: Push introductory guidance + exclusive benefits for novices. Tone: Warm, encouraging.
  • Example: “Welcome to TG-Staff! Here’s your 3-day free trial, try sending your first split message.”
• Silent User Group: Emphasize “We miss you” + return incentives. Tone: Nostalgic, urgent.
  • Example: “You haven’t logged in for 45 days and we’ve reserved an extra quota for you for this week only.”
• Highly active user groups: push advanced features or loyalty programs. Tone: respectful, exclusive.
  • Example: “As our active user, you have priority access to private beta. Click to see new features.”

Frequency Control: Find a balance between “reach” and “disturbing”

The more mass messages, the better. Too high a frequency will quickly consume user trust and even cause users to actively block the bot. It is recommended to set independent frequency caps for different groups:

Group Type	Recommended Frequency Cap	Description
Highly active users	2–3 times a week	They are highly receptive, but avoid over-bombing
Ordinary users	1 time per week	Maintain a sense of presence, but don’t become a burden
Silent users	Once every 2 weeks	Wake-up messages need to be sufficiently spaced and sincere
User churn warning	1 time per month	Too frequent will accelerate churn

Also, be sure to provide an unsubscribe mechanism. The simplest way is to add an unsubscribe button (such as “click to unsubscribe”) at the end of each group message and handle the unsubscribe logic in the Bot. TG-Staff Professional Edition supports configuring group sending limits by project to avoid over-sending.

Practical case: a complete process of group distribution

Suppose you run a cross-border e-commerce Telegram Bot and want to do a mass distribution event during the “Double Eleven” period. The following is the complete process of using TG-Staff to send group messages:

1. Create groups: Create 3 new groups in the TG-Staff console - 新用户（注册 < 7 天）, 活跃用户（近 7 天有互动）, and 沉默用户（近 30 天无互动）. Each group is automatically and dynamically updated according to behavioral rules.
2. Set rules: In the group sending task, exclude users who have “received coupons”. Set the sending period to 10:00–12:00 local time for each user.
3. Template Personalization: Write 3 versions of copywriting for each segment, using the {{first_name}} and {{last_interaction_date}} variables respectively. The new user version emphasizes “first time discounts”, the active user version promotes “members only”, and the silent user version comes with “return rewards”.
4. Schedule sending: The “active users” group (highest priority) will be sent first, the “new users” group will be sent after 30 minutes, and the “silent users” group will be sent after 2 hours. Each message is controlled within 20 messages/second.
5. Effect review: After the mass sending, check the open rate, click rate, and unsubscribe rate of the TG-Staff statistics panel. Compare the data of the three groups to optimize the next copywriting and grouping rules.

Summary and action suggestions

Telegram group sending is not a one-time task, but a continuous iterative process. If this is your first time trying, it is recommended to start with the smallest feasible grouping - for example, first grouping by user language, and use the automatic translation function to push localized content. After the team is familiar with the grouping logic, behavioral grouping and personalized templates will be gradually added.

Remember three principles:

1. The finer the grouping, the better the effect, but operating costs must also be considered. 3–5 core clusters can cover most scenarios.
2. Frequency control is more important than copywriting. It is better to post less than to make users feel harassed.
3. Data-driven iteration. After each group sending, read the data and adjust the grouping rules and copywriting.

If you want to quickly experience the effect of group sending, you can register for a free trial (3 days) of TG-Staff and drag and drop to create groups, write templates, and schedule sending in the web console. If you encounter any problems, please feel free to contact the customer service Bot @tgstaff_robot or check the official documentation.

Related Links:

• Application console: https://app.tg-staff.com/
• Product official website: https://tg-staff.com/
• Documentation Center: https://docs.tg-staff.com/